llms.txt ValidatorJewelry + Accessories

Does Daniel Wellington have an llms.txt?

Daniel Wellington's llms.txt grades D (44/100) across 29 spec + AI-search-readiness checks. The file declares 5 sections and 7 canonical links for AI crawlers.

D

Validator score · 44/100

4.4 KB file

Live result · refreshed 2026-05-29

www.danielwellington.com
Screenshot of Daniel Wellington's Shopify storefront

About Daniel Wellington

Founded 2011 · SE

Filip Tysander founded Daniel Wellington in Sweden after a chance encounter with a man wearing an old Rolex on a NATO strap. The brand grew from $15K to a reported $220M revenue in five years almost entirely through influencer marketing — sending watches + discount codes to hundreds of thousands of Instagram creators. The DW playbook directly created the modern micro-influencer industry.

Public scale markers

Disclosed in filings, acquisitions or named press reporting — not estimates.

  • 01~$220M revenue peak (2015)
  • 02Bootstrapped — no external funding
  • 03Hundreds of thousands of micro-influencer partnerships
  • 04Founded with $15K initial capital

Notable for the llms.txt validator

Daniel Wellington is the original influencer-marketing-attribution case — the discount-code system + UTM tracking infrastructure they built is now industry standard. The storefront reflects that attribution-heavy DNA.

Declared in the file

H1
Agent Instructions — Daniel Wellington EU
Sections
5
Links
7

Open findings

Top 7 of 7 non-passing checks. Open the live tool for every check + copy-paste fix.

  • Has a blockquote summary right after the H1recommended

    No `> blockquote` summary detected. Spec: "key information necessary for understanding the rest of the file".

  • Links use spec-compliant `- [label](url)` markdownwarning

    0/7 links are spec-compliant. The rest use plain URLs — most LLMs still parse them, but the spec is unambiguous.

  • Most links carry a short descriptive noterecommended

    0/7 links include a ":" note. Notes help LLMs decide which link to follow.

  • Most links point at the same domainwarning

    3/7 (43%) target www.danielwellington.com.

  • Root page is reachablewarning

    Could not fetch the root (HTTP 503). LLMs cross-reference the homepage to validate the llms.txt context.

  • Root page exposes Schema.org Organization JSON-LDrecommended

    No JSON-LD blocks detected on the homepage. AI engines use Organization markup to anchor brand identity.

  • Sampled in-file links all return 200warning

    1/7 sampled links failed: https://www.danielwellington.com/policies/terms-of-service → HTTP 503

What this AI-search readiness signals

A D-grade llms.txt means the file exists but has structural problems — usually unparseable markdown, missing H1, or links that don't lead anywhere. These are common when a file gets hand-written without checking against the spec. Each finding ships with a copy-paste-ready markdown snippet on the live tool.

Cross-check with the Schema Audit — high-grade structured data + a clean llms.txt are the two pillars of AI-search visibility. Brands that win one tend to win the other.

Run live

These results refresh every 24 hours. To re-run the analysis right now — or to analyse a different storefront — open the live llms.txt Validator with ?url=www.danielwellington.com preserved.

Open the live llms.txt Validator

See Daniel Wellington's full storefront analysis